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20132026
most citedThe STRANDS Project: Long-Term Autonomy in Everyday Environments

197 citations

Showing cond-mat.mtrl-sciShow all

15 papers · 1 filter

cond-mat.mtrl-sci2021★ 73 cited

Magnetostatics and micromagnetics with physics informed neural networks

Alexander Kovacs, Lukas Exl, Alexander Kornell +8

Partial differential equations and variational problems can be solved with physics informed neural networks (PINNs). The unknown field is approximated with neural networks. Minimiz…

cond-mat.mtrl-sci2019★ 4 cited

Computational Design of the Rare-Earth Reduced Permanent Magnets

A. Kovacs, J. Fischbacher, M. Gusenbauer +6

Multiscale simulation is a key research tool for the quest for new permanent magnets. Starting with first principles methods, a sequence of simulation methods can be applied to cal…

cond-mat.mtrl-sci2019★ 110 cited

Micromagnetics of rare-earth efficient permanent magnets

Johann Fischbacher, Alexander Kovacs, Markus Gusenbauer +4

The development of permanent magnets containing less or no rare-earth elements is linked to profound knowledge of the coercivity mechanism. Prerequisites for a promising permanent…

cond-mat.mtrl-sci2019★ 22 cited

Learning magnetization dynamics

Alexander Kovacs, Johann Fischbacher, Harald Oezelt +5

Deep neural networks are used to model the magnetization dynamics in magnetic thin film elements. The magnetic states of a thin film element can be represented in a low dimensional…

cond-mat.mtrl-sci2019★ 3 cited

The influence of antiphase boundary of the MnAl -phase on the energy product

S. Arapan, P. Nieves, S. Cuesta-López +6

In this work we use a multiscale approach toward a realistic design of a permanent magnet based on MnAl -phase and elucidate how the antiphase boundary defects present in this m…

cond-mat.mtrl-sci2019★ 64 cited

Database of novel magnetic materials for high-performance permanent magnet development

P. Nieves, S. Arapan, J. Maudes +16

This paper describes the open Novamag database that has been developed for the design of novel Rare-Earth free/lean permanent magnets. The database software technologies, its frien…

cond-mat.mtrl-sci2018★ 15 cited

Magnetic microstructure machine learning analysis

Lukas Exl, Johann Fischbacher, Alexander Kovacs +6

We use a machine learning approach to identify the importance of microstructure characteristics in causing magnetization reversal in ideally structured large-grained NdFe$_{14}…

cond-mat.mtrl-sci2018★ 55 cited

Searching the weakest link: Demagnetizing fields and magnetization reversal in permanent magnets

J. Fischbacher, A. Kovacs, L. Exl J. Kühnel +5

Magnetization reversal in permanent magnets occurs by the nucleation and expansion of reversed domains. Micromagnetic theory offers the possibility to localize the spots within the…

cond-mat.mtrl-sci2018★ 12 cited

Probability distribution of substituted Titanium in RT12 (R = Nd, Sm, T = Fe, Co) structures

Connor Skelland, Thomas Ostler, Samuel Westland +11

We investigated the atomic fill site probability distributions across supercell structures of RT12-xTi (R=Nd, Sm, T=Fe, Co). We use a combined molecular dynamics and Boltzmann dist…

cond-mat.mtrl-sci2017★ 8 cited

Effective uniaxial anisotropy in easy-plane materials through nanostructuring

J. Fischbacher, A. Kovacs, H. Oezelt +3

Permanent magnet materials require a high uniaxial magneto-crystalline anisotropy. Exchange coupling between small crystallites with easy-plane anisotropy induces an effective unia…

cond-mat.mtrl-sci2017★ 38 cited

On the limits of coercivity in permanent magnets

J. Fischbacher, A. Kovacs, H. Oezelt +14

The maximum coercivity that can be achieved for a given hard magnetic alloy is estimated by computing the energy barrier for the nucleation of a reversed domain in an idealized mic…

cond-mat.mtrl-sci2017

Role of twin and anti-phase defects in MnAl permanent magnets

Simon Bance, Florian Bittner, Thomas G. Woodcock +2

We quantify and explain the effects of both anti-phase boundaries and twin defects in as-transformed -MnAl by carrying out micromagnetic simulations based closely on the results…

cond-mat.mtrl-sci2017★ 54 cited

Conjugate gradient methods in micromagnetics

J. Fischbacher, A. Kovacs, H. Oezelt +9

Conjugate gradient methods for energy minimization in micromagnetics are compared. When the step length in the line search is controlled, conjugate gradient techniques are a fast a…

cond-mat.mtrl-sci2016★ 51 cited

Thermal activation in permanent magnets

Simon Bance, Johann Fischbacher, Alexander Kovacs +3

The coercive field of permanent magnets decays with temperature. At non-zero temperature the system can overcome a finite energy barrier through thermal fluctuations. Using finite…

cond-mat.mtrl-sci2016★ 122 cited

Grain-size dependent demagnetizing factors in permanent magnets

Simon Bance, Bernhard Seebacher, Thomas Schrefl +10

The coercive field of permanent magnets decreases with increasing grain size. The grain size dependence of coercivity is explained by a size dependent demagnetizing factor. In Dy f…